SOTAVerified

Traffic Signal Control

Control traffic lights/signals to optimize traffic.

( Image credit: Flaticon )

Papers

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Showing 51–75 of 201 papers

TitleStatusHype
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control—0
CycLight: learning traffic signal cooperation with a cycle-level strategy—0
Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts—0
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach—0
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control—0
Deep Reinforcement Learning for Adaptive Traffic Signal Control—0
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey—0
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems—0
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control—0
Cooperative Reinforcement Learning on Traffic Signal Control—0
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control—0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction—0
Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner—0
Connection-Based Scheduling for Real-Time Intersection Control—0
Connected Vehicle Supported Adaptive Traffic Control for Near-congested Condition in a Mixed Traffic Stream—0
A probabilistic model for missing traffic volume reconstruction based on data fusion—0
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization—0
A Novel Multi-Agent Deep RL Approach for Traffic Signal Control—0
Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control—0
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles—0
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control—0
Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach—0
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System—0
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework—0
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